Literature DB >> 3554785

Extrapolation from animals to man: predictions, pitfalls and perspectives.

H W Ruelius.   

Abstract

Comparative drug disposition studies can be useful in extrapolating from animals to man provided that the criteria indicating interspecies similarity in disposition reflect similar exposure to the foreign compound. Interspecies variability, on the other hand, can often be related to physiological or biochemical differences, thereby providing a rationale for the unsuitability or limitations of a species as a model for human metabolism. Retrospective evaluation of the following examples illustrates the relevance of the indicated disposition characteristics to risk and efficacy assessment: (a) oxaprozin (route of excretion, enterohepatic circulation and exposure; plasma concentrations and efficacy prediction); (b) ciramadol (species differences in presystemic elimination and major metabolic pathway); (c) acebutolol (pharmacologically active human metabolite absent in one of the toxicology species); (d) esmolol (duration of pharmacologic effect controlled by species dependent nature of blood esterases). Stereochemical preferences in the disposition of racemic drugs often differ among species. Extrapolations from one species to another cannot be made in this situation. Pharmacokinetic parameters based on measurements of the sum of the isomers are meaningless and potentially misleading. Future improvements can come from: computer assisted predictions of metabolic pathways; increased use of human tissues; and use of animal species physiologically similar to humans, e.g. the miniature swine.

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Year:  1987        PMID: 3554785     DOI: 10.3109/00498258709043936

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  10 in total

Review 1.  Whole body pharmacokinetic models.

Authors:  Ivan Nestorov
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

Review 2.  Interest and limits of human tissue and cell use in pharmacotoxicology.

Authors:  M Potier; B Lakhdar; D Merlet; J Cambar
Journal:  Cell Biol Toxicol       Date:  1995-08       Impact factor: 6.691

3.  Effects of long-term cyanide ingestion by pigs.

Authors:  H Manzano; A Benedito de Sousa; B Soto-Blanco; J L Guerra; P C Maiorka; S L Górniak
Journal:  Vet Res Commun       Date:  2006-12-15       Impact factor: 2.459

4.  Predictability of the clinical potency of NSAIDs from the preclinical pharmacodynamics in rats.

Authors:  A Mukherjee; V G Hale; O Borga; R Stein
Journal:  Inflamm Res       Date:  1996-11       Impact factor: 4.575

5.  Use of antibiotics during pregnancy and the risk of major congenital malformations: a population based cohort study.

Authors:  Flory T Muanda; Odile Sheehy; Anick Bérard
Journal:  Br J Clin Pharmacol       Date:  2017-08-11       Impact factor: 4.335

6.  Impact of postdiagnostic statin use on ovarian cancer mortality: A systematic review and meta-analysis of observational studies.

Authors:  Xia Li; Jing Zhou
Journal:  Br J Clin Pharmacol       Date:  2018-04-02       Impact factor: 4.335

Review 7.  Contribution of large pig for renal ischemia-reperfusion and transplantation studies: the preclinical model.

Authors:  S Giraud; F Favreau; N Chatauret; R Thuillier; S Maiga; T Hauet
Journal:  J Biomed Biotechnol       Date:  2011-03-03

8.  Observational Studies on the Association Between Post-diagnostic Metformin Use and Survival in Ovarian Cancer: A Systematic Review and Meta-Analysis.

Authors:  Ting-Ting Gong; Qi-Jun Wu; Bei Lin; Shi-Kai Ruan; Miki Kushima; Masafumi Takimoto
Journal:  Front Oncol       Date:  2019-05-29       Impact factor: 6.244

Review 9.  Male reproductive toxicology: comparison of the human to animal models.

Authors:  P K Working
Journal:  Environ Health Perspect       Date:  1988-04       Impact factor: 9.031

10.  Post-Diagnostic Beta Blocker Use and Prognosis of Ovarian Cancer: A Systematic Review and Meta-Analysis of 11 Cohort Studies With 20,274 Patients.

Authors:  Zhao-Yan Wen; Song Gao; Ting-Ting Gong; Yu-Ting Jiang; Jia-Yu Zhang; Yu-Hong Zhao; Qi-Jun Wu
Journal:  Front Oncol       Date:  2021-06-17       Impact factor: 6.244

  10 in total

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